Run
357555

Run 357555

Task 4382 (Supervised Classification) fri_c1_100_25 Uploaded 28-03-2015 by Joaquin Vanschoren
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Flow

weka.Bagging_REPTree(8)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0
weka.Bagging_REPTree(8)_P100
weka.Bagging_REPTree(8)_S1
weka.Bagging_REPTree(8)_num-slots1
weka.Bagging_REPTree(8)_I10
weka.Bagging_REPTree(8)_Wweka.classifiers.trees.REPTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8558
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7712
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5416
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
353.6736
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3403
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4982
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7722
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.771
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9975
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.771
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6829
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4991
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3963
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.794
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1317.5857
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)